Created
September 8, 2017 05:15
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trying to warp an image into a placeholder in another image
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import numpy as np, cv2, imutils | |
image = cv2.imread("images/thumbscreen.png") | |
lower = np.array([250, 0, 250]) | |
upper = np.array([255, 0, 255]) | |
shapeMask = cv2.inRange(image, lower, upper) | |
cnts = cv2.findContours(shapeMask.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) | |
cnts = cnts[0] if imutils.is_cv2() else cnts[1] | |
c = max(cnts, key=cv2.contourArea) | |
dst = cv2.cornerHarris(shapeMask,2,3,0.09) | |
dst = cv2.dilate(dst,None) | |
ret, dst = cv2.threshold(dst,0.01*dst.max(),255,0) | |
dst = np.uint8(dst) | |
ret, labels, stats, centroids = cv2.connectedComponentsWithStats(dst) | |
criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 100, 0.001) | |
corners = cv2.cornerSubPix(shapeMask,np.float32(centroids),(5,5),(-1,-1),criteria) | |
res = np.hstack((centroids,corners)) | |
res = np.int0(res) | |
res = np.array([x[:2] for x in res[1:5]]) | |
def order_points(pts): | |
rect = np.zeros((4, 2), dtype="float32") | |
s = pts.sum(axis=1) | |
rect[0] = pts[np.argmin(s)] | |
rect[2] = pts[np.argmax(s)] | |
diff = np.diff(pts, axis=1) | |
rect[1] = pts[np.argmin(diff)] | |
rect[3] = pts[np.argmax(diff)] | |
return rect | |
for i in order_points(res): | |
cv2.circle(image, tuple(i[:2]), 4, (255,255,255), 2) | |
# show the output image | |
cv2.imshow("Image", image) | |
cv2.waitKey(0) | |
cv2.destroyAllWindows() |
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